line plot

The session titled "Swift Charts: Vectorized and function plots" at WWDC 2024 covers various aspects of using Swift Charts for data visualization, particularly focusing on function and vectorized plots.

Key Points:

• Function Plots: Swift Charts allows for plotting mathematical functions using line and area plots. You can visualize the area under a curve or between two functions, and even plot parametric functions where x and y are defined in terms of a third variable, t. The API supports customizing the domain and range of the plots.

• Vectorized Plots: These are designed for efficiently handling larger datasets by processing entire collections in parallel. This is useful for creating extensive data visualizations like scatterplots or heat maps. Vectorized plots can be customized using key paths for properties like size and color.

• Accessibility: Swift Charts ensures that data visualizations are accessible by default, with support for VoiceOver to describe charts.

• Best Practices: For larger datasets, use vectorized plots with homogeneous styling to improve performance. For smaller datasets requiring individual customization, use the mark API. Converting computed properties to stored properties can enhance performance by reducing computational overhead during rendering.

Relevant Session Chapters:

• Function plots
• Vectorized plots
• Best practices

If you have specific questions about these topics or need further details, feel free to ask!